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检索条件"机构=Shaanxi Key Lab of Complex System Control and Intelligent Information Processing"
273 条 记 录,以下是101-110 订阅
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Real-Time Solution of Unsteady Inverse Heat Conduction Problem Based on Improved Whale Optimization Algorithm and Parameter-Adaptive Pid
SSRN
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SSRN 2022年
作者: Huang, Weichao Li, Jiahao Liu, Ding Shannxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi’an University of Technology Xi’an710048 China School of Automation and Information Engineering Xi’an University of Technology Xi’an710048 China
To the common unsteady inverse heat conduction problem in the industrial field, a real-time solution strategy of improving whale optimization algorithm (IWOA) and parameter-adaptive Proportional-integral-differential ... 详细信息
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Tracking Performance of Networked systems with Limited Bandwidth and Colored Noise
Tracking Performance of Networked Systems with Limited Bandw...
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2022 Chinese Automation Congress, CAC 2022
作者: Zhang, Bin Jiang, Xiaowei Sun, Li Zhang, Xianhe School of Automation China University of Geosciences Wuhan430074 China Key Laboratory of System Control and Information Processing Ministry of Education Shanghai200240 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China School of Statistics and Mathematics Zhongnan University of Economics and Law Wuhan430074 China School of Electrical Engineering and Automation Hubei Normal University Huangshi435002 China
This study investigated the optimal tracking performance (OTP) of multi-input multi-output (MIMO), discrete- time networked control systems (NCSs). The limits of tracking performance (TP) under the influences of bandw... 详细信息
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Self-supervised Multi-frame Monocular Depth Estimation with Pseudo-LiDAR Pose Enhancement
Self-supervised Multi-frame Monocular Depth Estimation with ...
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IEEE International Conference on Robotics and Automation (ICRA)
作者: Wenhua Wu Guangming Wang Jiquan Zhong Hesheng Wang Zhe Liu MoE Key Lab of Artificial Intelligence AI Institute Shanghai Jiao Tong University Shanghai China Department of Automation Key Laboratory of System Control and Information Processing of Ministry of Education Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Shanghai Engineering Research Center of Intelligent Control and Management Insititute of Medical Robotics Shanghai Jiao Tong University Shanghai China
Depth estimation is one of the most important tasks in scene understanding. In the existing joint self-supervised learning approaches of depth-pose estimation, depth estimation and pose estimation networks are indepen...
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Simulation study on control characteristics of semiconductor grade monocrystalline silicon growth process
Simulation study on control characteristics of semiconductor...
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Chinese Automation Congress (CAC)
作者: Yuyu Liu Ding Liu Zezhong Song Local Joint Engineering Research Center of Crystal Growth Equipment and System Integration Xiàn University of Technology Xiàn China Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xiàn University of Technology Xiàn China
The growth of Czochralski(CZ) monocrystalline silicon is a nonlinear dynamic time-varying system with complex physical changes and multi-field and multi-phase coupling. In order to meet the needs of information develo... 详细信息
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Robust adaptive neural network consensus tracking control of multi-robot systems
Robust adaptive neural network consensus tracking control of...
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第33届中国控制与决策会议
作者: Huijun Guo Jintao Liang School of Automation and Information Engineering Xi'an University of Technology Key Laboratory of Shaanxi Province for Complex System Control and Intelligent Information Processing Guilin University of Electronic Technology
This paper studies the problem of distributed consensus tracking control for multi-robot systems with different friction coefficients and external disturbances based on the multi-agent *** the case where the communica... 详细信息
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Adaptive Back-stepping Based control for Active Suspension systems with Prescribed Performance
Adaptive Back-stepping Based Control for Active Suspension S...
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第40届中国控制会议
作者: Huijun Guo Jintao Liang School of Automation and Information Engineering Xi'an University of Technology Key Laboratory of Shaanxi Province for Complex System Control and Intelligent Information Processing Guilin University of Electronic Technology
This paper proposes an adaptive back-stepping tracking control with prescribed performance function for vehicle suspension systems with uncertain parameters. The prescribed performance function can lead the tracking e... 详细信息
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Scheduling optimization of silicon single crystal production process based on adaptive improved particle swarm optimization
Scheduling optimization of silicon single crystal production...
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Chinese Automation Congress (CAC)
作者: Lu Kang Ding Liu Yali Wu Guozheng Ping School of Automation and Information Engineering Xi’an University of Technology National and Local Joint Engineering Research Center of Crystal Growth Equipment and System Integration Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi’an China School of Automation and Information Engineering Xi’an University of Technology National and Local Joint Engineering Research Center of Crystal Growth Xi’an University of Technology Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi’an China School of Automation and Information Engineering Xi’an University of Technology Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi’an China
Aiming at the potential safety hazards of silicon single crystal production enterprises in the process of multi-furnace silicon single crystal production, and considering the maximum power load requirements in actual ... 详细信息
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A Real-time Fire Segmentation Method Based on A Deep Learning Approach
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IFAC-PapersOnLine 2022年 第6期55卷 145-150页
作者: Mengna Li Youmin Zhang Lingxia Mu Jing Xin Ziquan Yu Shangbin Jiao Han Liu Guo Xie Yi Yingmin Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an University of Technology Xi'an Shaanxi 710048 China Department of Mechanical Industrial and Aerospace Engineering Concordia University Montreal Quebec H3G 1M8 Canada College of Automation Engineering Nanjing University of Aeronautics and Astronautics (NUAA) Nanjing Jiangsu China
As a kind of the forest “fault”, fire is highly destructive and difficult to rescue. Fire segmentation is helpful for firefighters to understand the fire scale and formulate a reasonable fire-fighting plan. Therefor... 详细信息
来源: 评论
Evolution of Cooperation in Snowdrift Game with Multi-Memory Mechanism
Evolution of Cooperation in Snowdrift Game with Multi-Memory...
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Chinese control Conference (CCC)
作者: Yaojun Liu Xingwen Liu Nyima Tashi Lab. of Complex Systems & Intelligent Control Key Lab. of Electronic Information of State Ethnic Affairs Commission College of Electrical Engineering Southwest Minzu University Chengdu Sichuan China Engineering Research Center for Tibetan Information Processing School of Information Science and Technology Tibet University Lhasa China
Cooperative behavior has been of great concern in evolutionary game researches because of its important role in social life and natural evolution. Since memory can greatly influence the emergence of cooperative behavi...
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Early Forest Fire Segmentation Based on Deep Learning
Early Forest Fire Segmentation Based on Deep Learning
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2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes, SAFEPROCESS 2021
作者: Li, Mengna Zhang, Youmin Xin, Jing Mu, Lingxia Yu, Ziquan Liu, Han Xie, Guo Jiao, Shangbin Yi, Yingmin Xi'an University of Technology Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Shaanxi Xi'an710048 China Concordia University Department of Mechanical Industrial and Aerospace Engineering MontrealQCH3G 1M8 Canada Nanjing University of Aeronautics and Astronautics College of Automation Engineering Nanjing211106 China
Fire segmentation is very important for fire rescue. It can make firefighters get the information on fire area, spread direction and so on, and then help them make quick and effective fire-fighting plan. Therefore, th... 详细信息
来源: 评论